Informed Selection of Future Climates
AbstractAnalysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to
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Bibliographic InfoPaper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Paper Series with number UNU-WIDER Research Paper WP2012/60.
Date of creation: 2012
Date of revision:
Gaussian quadrature sampling; climate uncertainty; computational burden; information theory;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-12-06 (All new papers)
- NEP-CMP-2012-12-06 (Computational Economics)
- NEP-ENE-2012-12-06 (Energy Economics)
- NEP-ENV-2012-12-06 (Environmental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- DeVuyst, Eric A. & Preckel, Paul V., 1997. "Sensitivity analysis revisited: A quadrature-based approach," Journal of Policy Modeling, Elsevier, vol. 19(2), pages 175-185, April.
- Arndt, Channing & Tarp, Finn & Thurlow, James, 2012. "The Economic Costs of Climate Change: A Multi-Sector Impact Assessment for Vietnam," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
- Mort Webster & Andrei Sokolov & John Reilly & Chris Forest & Sergey Paltsev & Adam Schlosser & Chien Wang & David Kicklighter & Marcus Sarofim & Jerry Melillo & Ronald Prinn & Henry Jacoby, 2012. "Analysis of climate policy targets under uncertainty," Climatic Change, Springer, vol. 112(3), pages 569-583, June.
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